Genome wide association study identifies KCNMA1 contributing to human obesity

Hong Jiao; Peter Arner; Johan Hoffstedt; David Brodin; Beatrice Dubern; Sébastien Czernichow; Ferdinand van't Hooft; Tomas Axelsson; Oluf Borbye Pedersen; Torben Hansen; Thorkild I A Sørensen; Johannes Hebebrand; Juha Kere; Karin Dahlman-Wright; Anders Hamsten; Karine Clement; Ingrid Dahlman

doi:10.1186/1755-8794-4-51

Genome wide association study identifies KCNMA1 contributing to human obesity

Hong Jiao, Peter Arner, Johan Hoffstedt, David Brodin, Beatrice Dubern, Sébastien Czernichow, Ferdinand van't Hooft, Tomas Axelsson, Oluf Borbye Pedersen, Torben Hansen, Thorkild I A Sørensen, Johannes Hebebrand, Juha Kere, Karin Dahlman-Wright, Anders Hamsten, Karine Clement, Ingrid Dahlman

82 Citationer (Scopus)

Abstract

Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity.

Originalsprog	Engelsk
Tidsskrift	B M C Medical Genomics
Vol/bind	4
Sider (fra-til)	51
ISSN	1755-8794
DOI	https://doi.org/10.1186/1755-8794-4-51
Status	Udgivet - 2011

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10.1186/1755-8794-4-51

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Jiao, H., Arner, P., Hoffstedt, J., Brodin, D., Dubern, B., Czernichow, S., van't Hooft, F., Axelsson, T., Pedersen, O. B., Hansen, T., Sørensen, T. I. A., Hebebrand, J., Kere, J., Dahlman-Wright, K., Hamsten, A., Clement, K., & Dahlman, I. (2011). Genome wide association study identifies KCNMA1 contributing to human obesity. B M C Medical Genomics, 4, 51. https://doi.org/10.1186/1755-8794-4-51

Jiao, H, Arner, P, Hoffstedt, J, Brodin, D, Dubern, B, Czernichow, S, van't Hooft, F, Axelsson, T, Pedersen, OB, Hansen, T, Sørensen, TIA, Hebebrand, J, Kere, J, Dahlman-Wright, K, Hamsten, A, Clement, K & Dahlman, I 2011, 'Genome wide association study identifies KCNMA1 contributing to human obesity', B M C Medical Genomics, bind 4, s. 51. https://doi.org/10.1186/1755-8794-4-51

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title = "Genome wide association study identifies KCNMA1 contributing to human obesity",

abstract = "Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity.",

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author = "Hong Jiao and Peter Arner and Johan Hoffstedt and David Brodin and Beatrice Dubern and S{\'e}bastien Czernichow and \{van't Hooft\}, Ferdinand and Tomas Axelsson and Pedersen, \{Oluf Borbye\} and Torben Hansen and S{\o}rensen, \{Thorkild I A\} and Johannes Hebebrand and Juha Kere and Karin Dahlman-Wright and Anders Hamsten and Karine Clement and Ingrid Dahlman",

year = "2011",

doi = "10.1186/1755-8794-4-51",

language = "English",

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journal = "B M C Medical Genomics",

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T1 - Genome wide association study identifies KCNMA1 contributing to human obesity

AU - Jiao, Hong

AU - Arner, Peter

AU - Hoffstedt, Johan

AU - Brodin, David

AU - Dubern, Beatrice

AU - Czernichow, Sébastien

AU - van't Hooft, Ferdinand

AU - Axelsson, Tomas

AU - Pedersen, Oluf Borbye

AU - Hansen, Torben

AU - Sørensen, Thorkild I A

AU - Hebebrand, Johannes

AU - Kere, Juha

AU - Dahlman-Wright, Karin

AU - Hamsten, Anders

AU - Clement, Karine

AU - Dahlman, Ingrid

PY - 2011

Y1 - 2011

N2 - Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity.

AB - Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population. Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity.

KW - Alleles

KW - Body Mass Index

KW - Case-Control Studies

KW - Cohort Studies

KW - Female

KW - France

KW - Genetic Predisposition to Disease

KW - Genome, Human

KW - Genome-Wide Association Study

KW - Germany

KW - Humans

KW - Large-Conductance Calcium-Activated Potassium Channel alpha Subunits

KW - Male

KW - Middle Aged

KW - Obesity, Morbid

KW - Polymorphism, Single Nucleotide

KW - Sweden

UR - https://www.scopus.com/pages/publications/79959601185

U2 - 10.1186/1755-8794-4-51

DO - 10.1186/1755-8794-4-51

M3 - Journal article

C2 - 21708048

SN - 1755-8794

VL - 4

SP - 51

JO - B M C Medical Genomics

JF - B M C Medical Genomics

ER -

Genome wide association study identifies KCNMA1 contributing to human obesity

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